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Hotel booking cancellation prediction using Hotel Booking Demand Dataset with Logistic Regression, kNNs, Decision Tree, SVM and NN

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Hotel-Booking-Cancellation-Prediction

This is the repository for Final Project of DS102 (Statistical Machine Learning) of University of Information Technology (UIT). In this project, we conduct an analysis of the Hotel Booking Demand dataset and apply several Machine Learning models to find the optimal model for the prediction problem.

Dataset: Hotel Booking Demand

Source: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand

Methods

  • Logistic Regression
  • k-Nearest Neighbors
  • Decision Tree/Classification and Regression tree (CART)
  • Neural Network

Performance Metrics

  • F1
  • AUC

Results

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Hotel booking cancellation prediction using Hotel Booking Demand Dataset with Logistic Regression, kNNs, Decision Tree, SVM and NN

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